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Data Engineer Manager Jobs in Chelsea, MA (NOW HIRING)

Who we are looking for We are looking for a SIEM Data Engineer reporting directly to the Cyber Data Engineering Manager. You will support the onboarding, transformation, routing, validation, and ...

Data Engineer

Boston, MA

$124K - $149K/yr

About the Team RA Capital's Data Engineering team builds the enterprise data platform that powers ... Experience in software development, data integration, vendor data management, and writing ...

Data Engineer

Boston, MA · Hybrid

$130K - $155K/yr

Geode Capital Management, LLC is seeking a highly motivated Data Engineer to join our Data team. The engineer will report to the Director of Data Engineering and will focus on designing and building ...

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

We invest flexibly-seed to IPO and beyond, anywhere in the world-with $10 B+ under management and a ... About the Team RA Capital's Data Engineering team builds the enterprise data platform that powers ...

Data Engineer

Boston, MA · On-site

$130K - $155K/yr

Geode Capital Management, LLC is seeking a highly motivated Data Engineer to join our Data team. The engineer will report to the Director of Data Engineering and will focus on designing and building ...

Data Engineer

Wakefield, MA · On-site

$120K - $145K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... This includes building ingestion pipelines, managing data stores, implementing quality and ...

Data Engineer

Wakefield, MA · On-site

$120K - $145K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... This includes building ingestion pipelines, managing data stores, implementing quality and ...

Data Engineer

Wakefield, MA · On-site

$90K - $150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... This includes building ingestion pipelines, managing data stores, implementing quality and ...

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

Develop familiarity with data governance principles, including metadata management and data lineage. What You'll Bring * 1-3 years of hands-on experience in data engineering, software engineering, or ...

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

Develop familiarity with data governance principles, including metadata management and data lineage. What You'll Bring * 1-3 years of hands-on experience in data engineering, software engineering, or ...

Data Engineer

Boston, MA

$124K - $149K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Ability to work under pressure and manage competing demands in a fast-paced environment; * Perform ...

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

MDAEdge is a company seeking a Data Engineer to establish and manage database systems. The role involves designing data models, building data pipelines, and ensuring data integrity to support ...

Data Engineer - Senior Manager

Boston, MA · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

SIEM Data Engineer

Quincy, MA · On-site

$45 - $50/hr

... managers, architects, engineers, and other team members to deliver SIEM & analytics functions that support our mission to build predictive models and intelligent systems that help secure information ...

Azure Data Engineer

Wilmington, MA · On-site

$125K - $150K/yr

Azure Data Engineer Location: Wilmington, MA (Hybrid - 2 days onsite, remainder remote; must be ... Knowledge of data modeling, metadata management, and data quality principles . * Familiarity with ...

Snowflake Data Engineer

Framingham, MA · On-site

$124K - $149K/yr

The role focuses on managing customer master data, ensuring data standardization and hygiene, and utilizing various Azure tools for data processing. Qualifications : Required : • Data Engineer • ...

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Data Engineer Manager information

See Chelsea, MA salary details

$48.4K

$141K

$192.9K

How much do data engineer manager jobs pay per year?

As of Aug 28, 2026, the average yearly pay for data engineer manager in Chelsea, MA is $140,952.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $149,400.00 per year, depending on experience, location, and employer.

What does a data engineer manager do?

A Data Engineer Manager leads a team of data engineers to design, build, and maintain data pipelines and infrastructure. They collaborate with data scientists, analysts, and business stakeholders to ensure efficient data processing and accessibility. Their responsibilities include project management, team leadership, system architecture decisions, and optimizing data workflows. Additionally, they enforce best practices for data governance, security, and scalability.

What are the key skills and qualifications needed to thrive as a data engineer manager?

To thrive as a Data Engineer Manager, you need robust experience in data architecture, pipeline design, team leadership, and a relevant degree in computer science or a related field. Proficiency with cloud platforms (like AWS or Azure), big data tools (such as Hadoop, Spark), and certifications in data engineering or project management are highly valued. Strong soft skills like effective communication, problem-solving, and mentorship set exceptional managers apart. These competencies enable strategic oversight of technical teams and ensure reliable, scalable data solutions that meet business objectives.

What are some typical challenges a data engineer manager faces in their role?

Data Engineer Managers often face the challenge of balancing technical project delivery with team development and stakeholder management. They must ensure data systems remain scalable and reliable while adapting to evolving business requirements and new technologies. Additionally, managing cross-functional communication between data engineers, analysts, and business leaders can require strong organizational and interpersonal skills. Success in this role requires staying current with industry trends and fostering a collaborative, innovative team culture.

How much does a data engineer manager make?

A data engineer manager typically earns between $110,000 and $160,000 annually, depending on experience, location, and company size. They often oversee data teams, manage data pipelines, and require strong skills in SQL, cloud platforms, and leadership. Salaries can vary based on industry demand and certifications held.

What are the most commonly searched types of Data Engineer jobs in Chelsea, MA?

The most popular types of Data Engineer jobs in Chelsea, MA are:

What are popular job titles related to Data Engineer Manager jobs in Chelsea, MA?

For Data Engineer Manager jobs in Chelsea, MA, the most frequently searched job titles are:

What cities near Chelsea, MA are hiring for Data Engineer Manager jobs?

Cities near Chelsea, MA with the most Data Engineer Manager job openings:

Infographic showing various Data Engineer Manager job openings in Chelsea, MA as of June 2026, with employment types broken down into 1% Internship, 1% As Needed, 56% Full Time, 38% Part Time, 1% Temporary, and 3% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $140,952 per year, or $67.8 per hour.

SIEM Data Engineer

Quincy, MA • On-site

State Street Corporation
Finance and Insurance • 10K+ employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Job description

Who we are looking for
We are looking for a SIEM Data Engineer reporting directly to the Cyber Data Engineering Manager. You will support the onboarding, transformation, routing, validation, and operational support of cybersecurity telemetry and enterprise log data used for security monitoring, analytics, reporting, incident response, and cyber data science use cases.
This role is focused on understanding diverse enterprise data sources, building and maintaining security telemetry pipelines, validating data quality, and ensuring reliable delivery of high-quality data into cyber data platforms such as Splunk, Databricks, and other SIEM or cyber analytics platforms. You will work closely with cybersecurity, infrastructure, cloud, application, and data engineering teams to ensure security telemetry is accurate, searchable, complete, and fit for purpose.
Why This Role Is Important to Us
The team you will be joining is part of Cyber Data & Analytics, a function that is vital to the company as it enables cybersecurity teams to make faster, data-driven decisions and strengthen the firm's ability to detect, investigate, and respond to evolving cyber threats.
High-quality cybersecurity data is foundational to effective threat detection, incident response, risk reporting, observability, automation, analytics, and compliance. This role helps ensure that enterprise security telemetry is properly onboarded, validated, enriched, routed, monitored, and continuously available to support critical cyber defense capabilities.
What you will be responsible for
As SIEM Data Engineer you will:
  • Support onboarding of security telemetry from applications, infrastructure, endpoints, identity platforms, network devices, cloud services, SaaS tools, databases, and security products.

  • Analyze source log formats and define ingestion requirements, expected fields, metadata, routing needs, and downstream SIEM/analytics use cases.

  • Configure telemetry pipelines for parsing, filtering, masking, enrichment, normalization, event breaking, metadata tagging, and destination routing.

  • Route security telemetry to Splunk, Databricks, and other SIEM or cyber analytics platforms.

  • Support validation and delivery of security telemetry into Databricks across raw, enriched, and curated data layers.

  • Support ingestion patterns such as syslog, HEC, REST APIs, cloud storage, streaming services, forwarders, and agent-based integrations.

  • Validate data quality in Splunk and Databricks for freshness, completeness, timestamp accuracy, field availability, schema consistency, source attribution, and routing accuracy.

  • Troubleshoot ingestion and data flow issues across sources, collectors, pipelines, SIEM platforms, Databricks tables, APIs, cloud storage, and streaming platforms.

  • Provide second-line-of-defense support for operational issues related to data engineering jobs, pipelines, ingestion failures, and issues leading to loss of data delivery to cyber data platforms.

  • Collaborate with Detection Engineering, Security Operations, Cyber Data Science, Observability, Cloud, Infrastructure, Application, and Platform teams to ensure telemetry supports security use cases.

  • Assist with source type assignment, index routing, taxonomy tagging, metadata enrichment, CIM alignment, schema mapping, and data validation.

  • Monitor pipeline health, dropped events, destination failures, ingestion latency, queue growth, and data delivery issues.

  • Document onboarding patterns, field mappings, transformation logic, routing decisions, data flow diagrams, runbooks, troubleshooting procedures, and operational handoffs.

  • Participate in production support, change management, incident response, root cause analysis, and continuous improvement activities

  • Second-line-of-defense support for operational issues related to data engineering (jobs/pipelines) and issues leading to loss of data delivery to Cyber data platforms

What we value
These skills will help you succeed in this role
  • Strong understanding of SIEM data onboarding, log ingestion, data routing, parsing, enrichment, validation, and troubleshooting.

  • Hands-on experience with Splunk or similar SIEM/log analytics platforms.

  • Hands-on experience or working knowledge of Cribl Stream or similar data pipeline technologies for routing, filtering, parsing, enrichment, transformation, and destination delivery.

  • Ability to understand and onboard telemetry from diverse enterprise data sources across cloud, endpoint, identity, network, application, infrastructure, database, SaaS, and security platforms.

  • Familiarity with common log formats such as JSON, XML, CSV, key-value, syslog, Windows Event Logs, cloud audit logs, API responses, and application logs.

  • Working knowledge of Databricks or similar analytics/lakehouse platforms is preferred.

  • Familiarity with Databricks data layers and data engineering concepts, including raw data ingestion, enrichment, curated tables, SQL-based validation, and analytics-ready datasets.

  • Ability to use SPL, SQL, Spark SQL, Python, Shell, or PowerShell for data validation, querying, troubleshooting, and automation.

  • Understanding data quality concepts, including log fidelity, event completeness, timestamp accuracy, field consistency, duplicate detection, routing validation, and data delivery monitoring.

  • Strong documentation, communication, collaboration, prioritization, and problem-solving skills.

Education & Preferred Qualifications
  • Master's or bachelor's degree in computer science, Cybersecurity, Information Technology, Engineering, Data Engineering, Data Analytics, Information Systems, or a related technical field; equivalent work experience may also be considered

  • 5+ years of experience in SIEM engineering, security data engineering, cybersecurity platform operations, or log analytics, with hands-on experience using Splunk or similar SIEM/log analytics platforms.

  • 2+ years of experience with Cribl Stream or similar data pipeline technologies such as Fluent Bit/Fluentd, Vector, Kafka, Syslog, HEC, REST APIs, or cloud-native ingestion services.

  • 2+ years of experience with Databricks, data lakehouse platforms, large-scale analytics platforms, or security data repositories for telemetry validation, analytics, and data engineering use cases.

  • Experience onboarding, validating, and troubleshooting security telemetry from diverse enterprise sources to support threat detection, observability, incident response, reporting, and cyber analytics use cases.

  • Experience querying and validating data using SPL, SQL, Spark SQL, Python, or similar languages.

  • Experience analyzing logs from cloud, endpoint, network, identity, infrastructure, application, database, SaaS, and security tools.

  • Experience with production support, issue troubleshooting, ticket documentation, root cause analysis, operational handoffs, and continuous service improvement.

  • Relevant certifications are preferred, including Cribl certifications such as Cribl Certified Observability Engineer, Splunk certifications such as Splunk Certified Admin, Splunk Certified Architect, or Splunk Certified Consultant, or equivalent hands-on platform experience.

  • Cloud, infrastructure, data engineering, or cybersecurity certifications are a plus.

Work Requirement
  • This role may follow a hybrid work model, with in-office presence required based on team, business, and location expectations.

  • Standard working hours are 8:00 AM to 5:00 PM local time for the employee's designated work location. Flexibility may be required for occasional operational support, release of activities, incident resolution, escalation support, or data delivery of recovery efforts.

Salary Range:
$90,000 - $157,500 Annual
The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.
Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.
For a full overview, visit https://hrportal.ehr.com/statestreet/Home.
About State Street
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
Discover more information on jobs at StateStreet.com/careers
Read our CEO Statement
Job Application Disclosure:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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About State Street

Sourced by ZipRecruiter

State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we're making our mark on the financial services industry. For more than two centuries, we've been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Boston, MA, US

Year founded

1792

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